Effective Lane Management for Emergency Vehicles and Adaptive Signaling for Dynamic Traffic Congestion Using Fuzzy Logic
T. Sujithra1, V. Kavitha2, N.M.Masoodhu Banu3
1Dr. T.Sujithra, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. V.Kavitha, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Dr. N.M.Masoodhu Banu, Department of ECE, Vel Tech Rangarajan & Dr. Sagunthala R&D Institute of Science &Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 827-834 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3072038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Proliferation of vehicles, ineffective traffic management and insufficient road infrastructure increase traffic congestion in urban areas. In traditional traffic control system, round robin algorithm is used for scheduling traffic controller in which equal priority is assigned for all the lanes in the intersection. It is failed to measure the traffic density. It leads to ineffective lane utilization. The main objective of this paper is to i) reduce the average waiting time of a vehicle at an intersection using effective lane management based on fuzzy logic and heuristic value ii) to reduce the average waiting time of emergency vehicles by applying prioritization and iii) adaptive signaling for dynamic traffic behavior. From the simulation results, it shows that the proposed system is effective during traffic congestion in the real time environment.
Keyword: Fuzzy Logic, Heuristic Value, Average Waiting Time, Adaptive Signaling.
Scope of the Article: Fuzzy Logics